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| 171 Hidradenitis suppurativa genome-wide association study A Khan, CP Lu, M Hayes, J Connolly, F Mentch, P Sleiman, ... Journal of Investigative Dermatology 141 (5), S30, 2021 | | 2021 |
| 316 Development of a phenotyping algorithm to identify patients with autoimmune disease in electronic health records for future large scale studies M Tong, N Shang, R Wang, B Lebwohl, K Mehl, G Hripcsak, C Weng, ... Journal of Investigative Dermatology 138 (5), S54, 2018 | | 2018 |
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| 366 Adverse reproductive outcomes among women with hidradenitis suppurativa A Colvin, E Dabela, A Khan, M Hayes, J Connolly, F Mentch, B Almoguera, ... Journal of Investigative Dermatology 141 (5), S64, 2021 | | 2021 |
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| 570 A genome-wide association study in an African American cohort implicates IL-12A in acne A Khan, J McGovern, Z Yang, C Wang, T Hughes, E Dabela, MC Garzon, ... Journal of Investigative Dermatology 141 (5), S99, 2021 | | 2021 |
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| A collaborative approach to developing an electronic health record phenotyping algorithm for drug-induced liver injury CL Overby, J Pathak, O Gottesman, K Haerian, A Perotte, S Murphy, ... Journal of the American Medical Informatics Association 20 (e2), e243-e252, 2013 | 79 | 2013 |
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| A comparison between human and NLP-based annotation of clinical trial eligibility criteria text using the OMOP Common Data Model X Li, H Liu, F Kury, C Yuan, A Butler, Y Sun, A Ostropolets, H Xu, C Weng AMIA Summits on Translational Science Proceedings 2021, 394, 2021 | 7 | 2021 |
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| A data element-function conceptual model for data quality checks JR Rogers, TJ Callahan, T Kang, A Bauck, R Khare, JS Brown, MG Kahn, ... eGEMs 7 (1), 2019 | 8 | 2019 |
| A data quality assessment guideline for electronic health record data reuse NG Weiskopf, S Bakken, G Hripcsak, C Weng Egems 5 (1), 2017 | 141 | 2017 |
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